Results 21 to 30 of about 23,527,078 (254)

The F statistics table for dependent variables using the general linear model(GLM)procedure.

, 2022
The F statistics table for dependent variables using the general linear model(GLM)procedure.
Seema B. Sharma (12174353)
core   +1 more source

Some General Linear Methods for the Numerical Solution of Non-Stiff IVPs in ODEs

Journal of Algorithms & Computational Technology, 2013
In this paper, we consider the construction of explicit General Linear Methods (GLM) for the numerical solution of non-stiff initial value problems (IVPs) in ordinary differential equations (ODEs).
R. I. Okuonghae, M. N. O. Ikhile, S. O. Ogunleye   +2 more
doaj   +1 more source

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

NeuroImage, 2020
For the robust estimation of evoked brain activity from functional Near-Infrared Spectroscopy (fNIRS) signals, it is crucial to reduce nuisance signals from systemic physiology and motion.
Alexander von Lühmann, Xinge Li, Klaus-Robert Müller, David A. Boas, Meryem A. Yücel   +4 more
doaj   +1 more source

Generalized Linear Models outperform commonly used canonical analysis in estimating spatial structure of presence/absence data [PDF]

PeerJ, 2020
Background Ecological communities tend to be spatially structured due to environmental gradients and/or spatially contagious processes such as growth, dispersion and species interactions.
Lélis A. Carlos-Júnior, Joel C. Creed, Rob Marrs, Rob J. Lewis, Timothy P. Moulton, Rafael Feijó-Lima, Matthew Spencer   +6 more
doaj   +2 more sources

The effect of urinary essential and non-essential elements on serum albumin: Evidence from a community-based study of the elderly in Beijing

Frontiers in Nutrition, 2022
Background & aimsFew epidemiological studies have investigated the relationships of urinary essential and non-essential elements with serum albumin, an indicator of nutritional status, especially for the elderly in China.MethodsA community-based ...
Ang Li, Ang Li, Quan Zhou, Quan Zhou, Yayuan Mei, Yayuan Mei, Jiaxin Zhao, Jiaxin Zhao, Liu Liu, Meiduo Zhao, Meiduo Zhao, Jing Xu, Jing Xu, Xiaoyu Ge, Xiaoyu Ge, Qun Xu, Qun Xu   +16 more
doaj   +1 more source

Robust and Unbiased Variance of GLM Coefficients for Misspecified Autocorrelation and Hemodynamic Response Models in fMRI

International Journal of Biomedical Imaging, 2009
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on general linear model coefficients are not valid. Robust estimation of the variance of the general linear model (GLM) coefficients in fMRI time series is ...
Lourens Waldorp
doaj   +1 more source

Efficiency of local minima and GLM techniques in sinkhole extraction from a LiDAR-based terrain model

International Journal of Digital Earth, 2019
The aim of this paper was to study reliable automated delineation possibilities of karst sinkholes using a LiDAR-based digital terrain model (DTM) with pixel-based classifications.
Péter Enyedi, Melinda Pap, Zoltán Kovács, László Takács-Szilágyi, Szilárd Szabó   +4 more
doaj   +1 more source

Single Trial Decoding of Belief Decision Making from EEG and fMRI Data Using ICA Features

Frontiers in Human Neuroscience, 2013
The complex task of assessing the veracity of a statement is thought to activate uniquely distributed brain regions based on whether a subject believes or disbelieves a given assertion.
Pamela eDouglas, Edward eLau, Ariana eAnderson, Wesley eKerr, Austin eHead, Margalit Aliza Wollner, Daniel eMoyer, Michael eDurnhofer, Wei eLi, Jen eBramen, Mark S Cohen   +10 more
doaj   +1 more source

Appendix E. Results of mixed-model General Linear Modeling (GLM).

, 2016
Results of mixed-model General Linear Modeling (GLM)
L. SantamarÍa (2912903), M. Mjelde (2912888), T. De Boer (2912897), A. J. Green (82676), J. J. Pilon (2912894), R. A. King (2912900), J. Figuerola (2912885), R. J. Gornall (2912891)   +7 more
core   +1 more source

GLM-standardised rock lobster (Jasus tristani) vessel CPUE at Tristan

, 2022
A GLM method is described which is used to standardise the vessel CPUE data at Tristan. The vessel CPUE provides a more optimistic indication of stock status than the powerboat CPUE for the 2017 seasons.
Doug Butterworth (10005953), SJ Johnston (806370)   +1 more
core   +1 more source